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ML-NLP

This project is about knowledge points and code implementations that are often tested in machine learning, deep learning, and NLP interviews. It is also the theoretical basic knowledge that an algorithm engineer must know.

system-design-primer

Collect system-design concepts, examples and study material.

Popularity
Repository stars17,844376,550Highest
7-day net stars——
Fork4,61659,129Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-01-092026-09-15
Maintenance notesNot verifiedUnknown
Repository created2019-07-052017-02-26
License & use
LicenseLicense not declaredLicense not declared
License source——
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeLearning & resourcesReference material · Tutorials
TypeGuides & collectionsGuides & collections
SubcategoryAdvanced guidesAdvanced guides
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check hosted-service, model and infrastructure costs for the option you choose.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguageJupyter NotebookPython
About this projectThis project is about knowledge points and code implementations that are often tested in machine learning, deep learning, and NLP interviews. It is also the theoretical basic knowledge that an algorithm engineer must know.Collect system-design concepts, examples and study material.
Measured at2026-11-03 08:27 UTC2026-11-02 18:45 UTC

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